Near has achieved product-market fit with AI-driven transactions, the layer-1 blockchain said this week, marking a milestone for a project that has spent years trying to differentiate itself in a crowded field. The claim comes as Near's cross-chain capabilities are drawing more users, and its native token remains what the team calls undervalued relative to fundamentals. For a sector that often hypes first and delivers later, the assertion is worth paying attention to.
Near's AI push
Near integrates AI and blockchain to enable self-sovereign transactions. The idea is that users can transact without relying on intermediaries, with AI handling routing, verification, and execution across chains. The team says that approach has finally crossed the threshold from experimental to repeatable — real people are using it, and they're coming back. That's the definition of product-market fit, at least by the standard most startups use.
The timing matters. AI blockchain projects have been a hot narrative this year, but few have shown sustained user activity. Near is trying to flip that script by pointing to on-chain metrics it says prove the fit.
Cross-chain edge
Near's cross-chain capabilities enhance user experience, which is key to its pitch. Instead of forcing users into a single ecosystem, Near lets them move assets and data across networks while the AI layer manages the complexity behind the scenes. That's a selling point in a world where liquidity is fragmented across a dozen L1s and L2s.
The team has been pushing this cross-chain story for a while, but the AI integration is what seems to be clicking. Developers can build applications that automatically route transactions to the cheapest or fastest chain, and users don't have to think about it.
The undervaluation case
Near's token is considered undervalued based on fundamentals, according to the project's analysis. That's a common refrain in crypto — every team thinks its token is cheap — but Near has some data to back it up. Transaction volumes are up, active addresses are growing, and the AI-driven use cases are generating fees. Yet the market cap hasn't reacted proportionally.
The team argues that the market is still pricing Near as a generic L1 competitor, not as a specialized AI blockchain with a functional product. If the product-market fit claim holds, that gap could close.
Near hasn't laid out a specific timeline for the next phase, but the focus will be on scaling the AI layer and attracting more developers. The cross-chain infrastructure is already live, so the next step is getting more dApps to build on top of it. The team will likely release more user metrics in the coming weeks to back up the fit claim.
Whether the broader market buys it remains an open question. But for now, Near is betting that AI-driven, self-sovereign transactions aren't just a demo — they're a product people actually want to use.
